MetNetComp Database [1] / Minimal gene deletions

Minimal gene deletions for simulation-based growth-coupled production. You can also see maximal gene deletions.

Model : iML1515 [2].
Target metabolite : dtdpglu_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (61 of 74: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 29
  Gene deletion: b4382 b0474 b2518 b3831 b4384 b3752 b4152 b2925 b2097 b2781 b1850 b2407 b1612 b1611 b4122 b1779 b1759 b1200 b4161 b4138 b4123 b0621 b2406 b0452 b3918 b0789 b1249 b1206 b0221   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.608033 (mmol/gDw/h)
  Minimum Production Rate : 0.028378 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 27.151925
  EX_glc__D_e : 10.000000
  EX_nh4_e : 7.233904
  EX_pi_e : 0.643268
  EX_so4_e : 0.153115
  EX_k_e : 0.118684
  EX_fe2_e : 0.107349
  EX_mg2_e : 0.005275
  EX_cl_e : 0.003165
  EX_ca2_e : 0.003165
  EX_cu2_e : 0.000431
  EX_mn2_e : 0.000420
  EX_zn2_e : 0.000207
  EX_ni2_e : 0.000196
  EX_cobalt2_e : 0.000015

Product: (mmol/gDw/h)
  EX_h2o_e : 48.035347
  EX_co2_e : 28.294724
  EX_h_e : 7.855733
  EX_succ_e : 0.634052
  EX_ura_e : 0.110056
  EX_pheme_e : 0.097584
  Auxiliary production reaction : 0.028378
  DM_5drib_c : 0.000137
  DM_4crsol_c : 0.000136

Visualization
  1. Download JSON file.
  2. Go to Escher site [3].
  3. Select "Data > Load reaction data" and apply the downloaded file.

References
[1] Tamura, T. MetNetComp: Database for minimal and maximal gene deletion strategies for growth-coupled production of genome-scale metabolic networks, IEEE/ACM Transactions on Computational Biology and Bioinformatics, in press.
[2] Norsigian, C. J., Pusarla, N., McConn, J. L., Yurkovich, J. T., Dräger, A., Palsson, B. O., & King, Z. (2020). BiGG Models 2020: multi-strain genome-scale models and expansion across the phylogenetic tree. Nucleic acids research, 48(D1), D402-D406.
[3] King, Z. A., Dräger, A., Ebrahim, A., Sonnenschein, N., Lewis, N. E., & Palsson, B. O. (2015). Escher: a web application for building, sharing, and embedding data-rich visualizations of biological pathways. PLoS computational biology, 11(8), e1004321.

Last updated: 21-Sep-2023
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